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Self-driving cars are edging ever closer to becoming smart, reliable motors people can actually buy from their local dealerships. Google's crafted its first cheery prototype and Audi's driverless ...
It was a serious educational street driving simulator that used 3D polygon technology and a sit-down arcade cabinet to simulate realistic driving, including basics such as ensuring the car is in neutral or parking position, starting the engine, placing the car into gear, releasing the hand-brake, and then driving.
Display cabinets next to the cars show historic exhibitis and offer informative stories. A digital library allows to leaf through the photo albums of race drivers and engineers. In a walk-in “Audiobox” several engine sounds can be started. A driving simulator is integrated in a real Porsche 356.
NVIDIA has announced that its autonomous vehicle simulation platform Drive Constellation is now available and that Toyota will be the first customer. ... will let self-driving car developers run ...
rFpro, originally rFactor Pro, is a driving simulation software used by racing teams and car manufacturers for advanced driver-assistance systems, self-driving cars and vehicle dynamics. rFactor Pro was created in 2007 as a project of a F1 racing team, using Image Space Incorporated's rFactor as a codebase. [1]
TORCS (The Open Racing Car Simulator) is an open-source 3D car racing simulator available on Linux, FreeBSD, Mac OS X, AmigaOS 4, AROS, MorphOS and Microsoft Windows. TORCS was created by Eric Espié and Christophe Guionneau, but project development is now headed by Bernhard Wymann. [2] It is written in C++ and is licensed under the GNU GPL.
Cognitive Research Corporation (CRC) designed the CRCDS for pharmaceutical research use. [3] The system consists of a single PC, three 21-inch LCD monitors (105-degree field of view), a full-size steering wheel and pedals, [1] an instrument panel display, a 2.1 audio system, a tactile transducer, and a separate display for the Coach/Instructor.
In traffic flow modeling, the intelligent driver model (IDM) is a time-continuous car-following model for the simulation of freeway and urban traffic. It was developed by Treiber, Hennecke and Helbing in 2000 to improve upon results provided with other "intelligent" driver models such as Gipps' model, which loses realistic properties in the deterministic limit.